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Francesco Percassi

2 papers hereh-index 8168 citations48 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.AI2

identity via Semantic Scholar / OpenAlex

most citedNovelty Messages Filtering for Multi Agent Privacy-preserving Planning

2 citations · 2 across the 1 of their papers we have counts for

collaborators

2 papers

cs.AI2019★ 2 cited

Novelty Messages Filtering for Multi Agent Privacy-preserving Planning

Alfonso E. Gerevini, Nir Lipovetzky, Nico Peli +3

In multi-agent planning, agents jointly compute a plan that achieves mutual goals, keeping certain information private to the individual agents. Agents' coordination is achieved th…

cs.AI2019

Best-First Width Search for Multi Agent Privacy-preserving Planning

Alfonso E. Gerevini, Nir Lipovetzky, Francesco Percassi +2

In multi-agent planning, preserving the agents' privacy has become an increasingly popular research topic. For preserving the agents' privacy, agents jointly compute a plan that ac…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.